Shopper-Verified Item Availability for Warehouse Order Interfaces

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Solution Overview

Problem

Current online concierge systems inaccurately predict item availability at warehouses, leading to items being hidden from users despite their actual availability, reducing user interaction and order fulfillment efficiency.

Innovation Solution

An online concierge system uses a machine-learned item availability model to predict item availability, visually distinguishes items with low availability, and allows users to request shopper confirmations, updating the model with real-time inventory data to improve accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If the online concierge system hides items with low predicted availability, then the number of items for users to review is reduced, but available items may be incorrectly excluded from orders

Engineering Contradiction:

Improveease of orderingVSAvoidavailability prediction accuracy

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system implements feedback loops where shoppers confirm item availability during order fulfillment. This real-world feedback is used to retrain and update the machine-learned availability model, continuously improving prediction accuracy while maintaining the benefit of filtering low-availability items from the user interface

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary availability checks using the machine-learned model before presenting items to users, and then performs a second confirmation check during fulfillment. This two-stage approach ensures that items hidden initially may still be made available through shopper verification, preventing incorrect exclusions

Inventive Principle:

Principle #10Preliminary action

2Device complexity

If the system relies on infrequent warehouse inventory updates, then system complexity is reduced, but availability prediction accuracy deteriorates

Engineering Contradiction:

Improvesystem complexityVSAvoidavailability prediction accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The system uses shoppers who are already performing order fulfillment tasks to simultaneously verify item availability. This self-service approach leverages existing human resources without adding dedicated inventory checking personnel or complex automated monitoring systems, maintaining low system complexity while improving accuracy through real-time verification

Inventive Principle:

Principle #25Self-service

3Measurement precision

If the system requests shopper confirmation for all low-availability items, then availability prediction accuracy is improved, but order fulfillment time increases

Engineering Contradiction:

Improveavailability prediction accuracyVSAvoidorder fulfillment time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system applies shopper confirmation requests selectively rather than universally. Confirmation prompts are shown based on the degree of availability uncertainty, the user's ordering history, and the item's importance, rather than for all low-availability items. This partial application reduces time loss while maintaining accuracy improvements for the most critical cases

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12561648B2Augmenting an availability of an item at a warehouse determined from an availability model with information from shoppers fulfilling orders on item availability

Publication Date: 2026.02.24 MAPLEBEAR INC

AI summary

An online concierge system displays an ordering interface to users that displays items offered by various warehouses. The online concierge system includes machine learning availability model that estimates an item's availability and visually distinguishes items offered by a warehouse having less than a threshold availability from other items. Because information from a warehouse that an item that was out of stock is now in stock is often delayed, the online concierge system transmits a request to a shopper fulfilling an order to check for an item's availability at a warehouse. For example, the online concierge system allows users to include a request for an indication of an item's availability when placing an order. When the online concierge system receives a threshold number of requests for the item, the online concierge system prompts a shopper fulfilling an order including items near the item for the item's availability.